• J. Alzheimers Dis. · Jan 2011

    Comparative Study

    Episodic memory decline predicts cortical amyloid status in community-dwelling older adults.

    • David G Darby, Amy Brodtmann, Robert H Pietrzak, Julia Fredrickson, Michael Woodward, Victor L Villemagne, Amy Fredrickson, Paul Maruff, and Christopher Rowe.
    • CogState Ltd, Melbourne, Australia. ddarby@cogstate.com
    • J. Alzheimers Dis. 2011 Jan 1; 27 (3): 627-37.

    AbstractIntra-individual decline in memory and cognition is characteristic of prodromal Alzheimer's disease (AD) and may allow detection of very early AD pathology. Episodic memory task scores on a brief computerized cognitive battery (CogState) were prospectively evaluated at baseline, and 3-, 6-, 9-, 12-, and 24-months post-baseline. Linear mixed models were conducted to compute age-adjusted slopes. Subjects with slopes declining ≥90th percentile ("memory decliners") and age- and gender-matched subjects without such decline ("non-decliners") were studied with clinical, neuropsychological, and neuroimaging evaluations. Of 195 who completed 24-month evaluation (age 51 to 80 years), 15 memory decliners (mean age 62.7 years, SD 7.6) were identified, and matched with 33 non-decliners (mean age 63.3 years, SD 8.2). Amyloid-PET imaging was qualitatively abnormal with excess cortical amyloid accumulation in 7 memory decliners (46.7%) and 4 (12.1%) non-decliners (odds ratio 6.34), and quantitatively abnormal with standardized uptake value ratios >1.4 in 5 memory decliners (33.3%) and 2 (6.1%) non-decliners (odds ratio 8.3). One of the memory decliners and none of the non-decliners fulfilled criteria for mild cognitive impairment, but the groups did not differ with respect to subjective memory impairment, neuropsychological evidence of episodic memory impairment, or MRI imaging abnormalities. Intra-individual decline in episodic memory can be detected using a brief computerized cognitive performance test optimized to detect change in community-dwelling non-demented older persons and appears predictive of the presence of cerebral amyloid in about half of these persons. This approach may help detect early prodromal AD pathology in wider-scale community screening programs.

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